このエントリーをはてなブックマークに追加
ID 61476
フルテキストURL
著者
Murata, Atsuo Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
Doi, Toshihisa Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID researchmap
Kageyama, Kazushi Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University
Karwowski, Waldemar Engineering and Management Systems, University of Central Florida
抄録
In this study, a method to predict a target on the basis of the trajectory of eye movements and to increase the pointing speed while maintaining high predictive accuracy is proposed. First, a predictive method based on ballistic (fast) eye movements (Approach 1) was evaluated in terms of pointing speed and predictive accuracy. In Approach 1, the so-called Midas touch problem (pointing to an unintended target) occurred, particularly when a small number of samples was used to predict a target. Therefore, to overcome the poor predictive accuracy of Approach 1, we developed a new predictive method (Approach 2) using homing (slow) eye movements rather than ballistic (fast) eye movements. Approach 2 overcame the disadvantage (inaccurate prediction) of Approach 1 by shortening the pointing time while maintaining high predictive accuracy.
キーワード
Eye-gaze input
target predictive method
ballistic eye movement
homing eye movement
pointing time
predictive accuracy
Midas touch
発行日
2021-01-29
出版物タイトル
IEEE Access
9巻
出版者
Institute of Electrical and Electronics Engineers
開始ページ
22688
終了ページ
22697
ISSN
2169-3536
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1109/ACCESS.2021.3055514
ライセンス
https://creativecommons.org/licenses/by/4.0/